{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CIFAR10 Classifier\n",
    "\n",
    "This notebook prepares an CIFAR10 classifier using a Convolutional Neural Network (CNN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "# import required libs\n",
    "import keras\n",
    "import numpy as np\n",
    "from keras import backend as K\n",
    "from keras.datasets import cifar10\n",
    "from keras.models import Sequential\n",
    "from keras import regularizers, optimizers\n",
    "from keras.layers import Dense, Dropout, Flatten\n",
    "from keras.callbacks import EarlyStopping, ModelCheckpoint\n",
    "from keras.layers import Conv2D, MaxPooling2D,BatchNormalization\n",
    "\n",
    "import cnn_utils as utils\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "params = {'legend.fontsize': 'x-large',\n",
    "          'figure.figsize': (15, 5),\n",
    "         'axes.labelsize': 'x-large',\n",
    "         'axes.titlesize':'x-large',\n",
    "         'xtick.labelsize':'x-large',\n",
    "         'ytick.labelsize':'x-large'}\n",
    "\n",
    "plt.rcParams.update(params)\n",
    "np.random.seed(42)\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set Parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "BATCH_SIZE = 128\n",
    "NUM_CLASSES = 10\n",
    "EPOCHS = 25\n",
    "INPUT_SHAPE = (32, 32, 3)\n",
    "WEIGHT_DECAY = 1e-4\n",
    "KFOLD_WEIGHT_PATH=r'../model/cnn_cifar10_weights_{epoch:02d}_{val_acc:.2f}.hdf5'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "label_dict = {0:'airplane',\n",
    "             1:'automobile',\n",
    "             2:'bird',\n",
    "             3:'cat',\n",
    "             4:'deer',\n",
    "             5:'dog',\n",
    "             6:'frog',\n",
    "             7:'horse',\n",
    "             8:'ship',\n",
    "             9:'truck'}\n",
    "\n",
    "# for evaluation\n",
    "TOP_N = 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get CIFAR10 Dataset\n",
    "\n",
    "The CIFAR10 dataset is available through keras load_data() API. It returns train and test datasets along with their corresponding target labels.\n",
    "\n",
    "We download the dataset and perform a quick scaling by multiplying with a scalar quantity of 1/255."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# the data, shuffled and split between train and test sets\n",
    "(x_train, y_train), (x_test, y_test) = cifar10.load_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x_train = x_train/255.\n",
    "x_test = x_test/255."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset Details\n",
    "\n",
    "The dataset consists of 10 different classes having a total of 60,000 samples with 50k in training and the rest in test dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x_train shape: (50000, 32, 32, 3)\n",
      "50000 train samples\n",
      "10000 test samples\n"
     ]
    }
   ],
   "source": [
    "print('x_train shape:', x_train.shape)\n",
    "print(x_train.shape[0], 'train samples')\n",
    "print(x_test.shape[0], 'test samples')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# convert class vectors to binary class matrices\n",
    "y_train = keras.utils.to_categorical(y_train, NUM_CLASSES)\n",
    "y_test = keras.utils.to_categorical(y_test, NUM_CLASSES)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Build a CNN based deep neural network\n",
    "\n",
    "Using ```keras``` we prepare a simple CNN by stacking Convolutional, Maxpooling, BatchNormalization, Flatten and Dense Layers. We utilize Dopouts to keep the model from overfitting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(Conv2D(16, kernel_size=(3, 3),\n",
    "                 activation='relu',\n",
    "                 input_shape=INPUT_SHAPE))\n",
    "\n",
    "model.add(Conv2D(32, (3,3), padding='same', \n",
    "                kernel_regularizer=regularizers.l2(WEIGHT_DECAY),\n",
    "                activation='relu'))\n",
    "model.add(BatchNormalization())\n",
    "model.add(MaxPooling2D(pool_size=(2,2)))\n",
    "model.add(Dropout(0.2))\n",
    "\n",
    "model.add(Flatten())\n",
    "model.add(Dense(128, activation='relu'))\n",
    "model.add(Dropout(0.5))\n",
    "model.add(Dense(NUM_CLASSES, activation='softmax'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize the network architecture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg height=\"802pt\" viewBox=\"0.00 0.00 443.00 802.00\" width=\"443pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       "<g class=\"graph\" id=\"graph0\" transform=\"scale(1 1) rotate(0) translate(4 798)\">\n",
       "<title>G</title>\n",
       "<polygon fill=\"white\" points=\"-4,4 -4,-798 439,-798 439,4 -4,4\" stroke=\"none\"/>\n",
       "<!-- 1922477855016 -->\n",
       "<g class=\"node\" id=\"node1\"><title>1922477855016</title>\n",
       "<polygon fill=\"none\" points=\"45.5,-747.5 45.5,-793.5 389.5,-793.5 389.5,-747.5 45.5,-747.5\" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"133.5\" y=\"-766.8\">conv2d_1_input: InputLayer</text>\n",
       "<polyline fill=\"none\" points=\"221.5,-747.5 221.5,-793.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"249.5\" y=\"-778.3\">input:</text>\n",
       "<polyline fill=\"none\" points=\"221.5,-770.5 277.5,-770.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"249.5\" y=\"-755.3\">output:</text>\n",
       "<polyline fill=\"none\" points=\"277.5,-747.5 277.5,-793.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"333.5\" y=\"-778.3\">(None, 32, 32, 3)</text>\n",
       "<polyline fill=\"none\" points=\"277.5,-770.5 389.5,-770.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"333.5\" y=\"-755.3\">(None, 32, 32, 3)</text>\n",
       "</g>\n",
       "<!-- 1922477891480 -->\n",
       "<g class=\"node\" id=\"node2\"><title>1922477891480</title>\n",
       "<polygon fill=\"none\" points=\"66.5,-664.5 66.5,-710.5 368.5,-710.5 368.5,-664.5 66.5,-664.5\" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"130\" y=\"-683.8\">conv2d_1: Conv2D</text>\n",
       "<polyline fill=\"none\" points=\"193.5,-664.5 193.5,-710.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"221.5\" y=\"-695.3\">input:</text>\n",
       "<polyline fill=\"none\" points=\"193.5,-687.5 249.5,-687.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"221.5\" y=\"-672.3\">output:</text>\n",
       "<polyline fill=\"none\" points=\"249.5,-664.5 249.5,-710.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"309\" y=\"-695.3\">(None, 32, 32, 3)</text>\n",
       "<polyline fill=\"none\" points=\"249.5,-687.5 368.5,-687.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"309\" y=\"-672.3\">(None, 30, 30, 16)</text>\n",
       "</g>\n",
       "<!-- 1922477855016&#45;&gt;1922477891480 -->\n",
       "<g class=\"edge\" id=\"edge1\"><title>1922477855016-&gt;1922477891480</title>\n",
       "<path d=\"M217.5,-747.366C217.5,-739.152 217.5,-729.658 217.5,-720.725\" fill=\"none\" stroke=\"black\"/>\n",
       "<polygon fill=\"black\" points=\"221,-720.607 217.5,-710.607 214,-720.607 221,-720.607\" stroke=\"black\"/>\n",
       "</g>\n",
       "<!-- 1922632105488 -->\n",
       "<g class=\"node\" id=\"node3\"><title>1922632105488</title>\n",
       "<polygon fill=\"none\" points=\"66.5,-581.5 66.5,-627.5 368.5,-627.5 368.5,-581.5 66.5,-581.5\" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"130\" y=\"-600.8\">conv2d_2: Conv2D</text>\n",
       "<polyline fill=\"none\" points=\"193.5,-581.5 193.5,-627.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"221.5\" y=\"-612.3\">input:</text>\n",
       "<polyline fill=\"none\" points=\"193.5,-604.5 249.5,-604.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"221.5\" y=\"-589.3\">output:</text>\n",
       "<polyline fill=\"none\" points=\"249.5,-581.5 249.5,-627.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"309\" y=\"-612.3\">(None, 30, 30, 16)</text>\n",
       "<polyline fill=\"none\" points=\"249.5,-604.5 368.5,-604.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"309\" y=\"-589.3\">(None, 30, 30, 32)</text>\n",
       "</g>\n",
       "<!-- 1922477891480&#45;&gt;1922632105488 -->\n",
       "<g class=\"edge\" id=\"edge2\"><title>1922477891480-&gt;1922632105488</title>\n",
       "<path d=\"M217.5,-664.366C217.5,-656.152 217.5,-646.658 217.5,-637.725\" fill=\"none\" stroke=\"black\"/>\n",
       "<polygon fill=\"black\" points=\"221,-637.607 217.5,-627.607 214,-637.607 221,-637.607\" stroke=\"black\"/>\n",
       "</g>\n",
       "<!-- 1922632105768 -->\n",
       "<g class=\"node\" id=\"node4\"><title>1922632105768</title>\n",
       "<polygon fill=\"none\" points=\"0,-498.5 0,-544.5 435,-544.5 435,-498.5 0,-498.5\" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"130\" y=\"-517.8\">batch_normalization_1: BatchNormalization</text>\n",
       "<polyline fill=\"none\" points=\"260,-498.5 260,-544.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"288\" y=\"-529.3\">input:</text>\n",
       "<polyline fill=\"none\" points=\"260,-521.5 316,-521.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"288\" y=\"-506.3\">output:</text>\n",
       "<polyline fill=\"none\" points=\"316,-498.5 316,-544.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"375.5\" y=\"-529.3\">(None, 30, 30, 32)</text>\n",
       "<polyline fill=\"none\" points=\"316,-521.5 435,-521.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"375.5\" y=\"-506.3\">(None, 30, 30, 32)</text>\n",
       "</g>\n",
       "<!-- 1922632105488&#45;&gt;1922632105768 -->\n",
       "<g class=\"edge\" id=\"edge3\"><title>1922632105488-&gt;1922632105768</title>\n",
       "<path d=\"M217.5,-581.366C217.5,-573.152 217.5,-563.658 217.5,-554.725\" fill=\"none\" stroke=\"black\"/>\n",
       "<polygon fill=\"black\" points=\"221,-554.607 217.5,-544.607 214,-554.607 221,-554.607\" stroke=\"black\"/>\n",
       "</g>\n",
       "<!-- 1922477856080 -->\n",
       "<g class=\"node\" id=\"node5\"><title>1922477856080</title>\n",
       "<polygon fill=\"none\" points=\"25.5,-415.5 25.5,-461.5 409.5,-461.5 409.5,-415.5 25.5,-415.5\" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"130\" y=\"-434.8\">max_pooling2d_1: MaxPooling2D</text>\n",
       "<polyline fill=\"none\" points=\"234.5,-415.5 234.5,-461.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"262.5\" y=\"-446.3\">input:</text>\n",
       "<polyline fill=\"none\" points=\"234.5,-438.5 290.5,-438.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"262.5\" y=\"-423.3\">output:</text>\n",
       "<polyline fill=\"none\" points=\"290.5,-415.5 290.5,-461.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"350\" y=\"-446.3\">(None, 30, 30, 32)</text>\n",
       "<polyline fill=\"none\" points=\"290.5,-438.5 409.5,-438.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"350\" y=\"-423.3\">(None, 15, 15, 32)</text>\n",
       "</g>\n",
       "<!-- 1922632105768&#45;&gt;1922477856080 -->\n",
       "<g class=\"edge\" id=\"edge4\"><title>1922632105768-&gt;1922477856080</title>\n",
       "<path d=\"M217.5,-498.366C217.5,-490.152 217.5,-480.658 217.5,-471.725\" fill=\"none\" stroke=\"black\"/>\n",
       "<polygon fill=\"black\" points=\"221,-471.607 217.5,-461.607 214,-471.607 221,-471.607\" stroke=\"black\"/>\n",
       "</g>\n",
       "<!-- 1922477855352 -->\n",
       "<g class=\"node\" id=\"node6\"><title>1922477855352</title>\n",
       "<polygon fill=\"none\" points=\"65,-332.5 65,-378.5 370,-378.5 370,-332.5 65,-332.5\" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"130\" y=\"-351.8\">dropout_1: Dropout</text>\n",
       "<polyline fill=\"none\" points=\"195,-332.5 195,-378.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"223\" y=\"-363.3\">input:</text>\n",
       "<polyline fill=\"none\" points=\"195,-355.5 251,-355.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"223\" y=\"-340.3\">output:</text>\n",
       "<polyline fill=\"none\" points=\"251,-332.5 251,-378.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"310.5\" y=\"-363.3\">(None, 15, 15, 32)</text>\n",
       "<polyline fill=\"none\" points=\"251,-355.5 370,-355.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"310.5\" y=\"-340.3\">(None, 15, 15, 32)</text>\n",
       "</g>\n",
       "<!-- 1922477856080&#45;&gt;1922477855352 -->\n",
       "<g class=\"edge\" id=\"edge5\"><title>1922477856080-&gt;1922477855352</title>\n",
       "<path d=\"M217.5,-415.366C217.5,-407.152 217.5,-397.658 217.5,-388.725\" fill=\"none\" stroke=\"black\"/>\n",
       "<polygon fill=\"black\" points=\"221,-388.607 217.5,-378.607 214,-388.607 221,-388.607\" stroke=\"black\"/>\n",
       "</g>\n",
       "<!-- 1922636398320 -->\n",
       "<g class=\"node\" id=\"node7\"><title>1922636398320</title>\n",
       "<polygon fill=\"none\" points=\"75.5,-249.5 75.5,-295.5 359.5,-295.5 359.5,-249.5 75.5,-249.5\" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"130\" y=\"-268.8\">flatten_1: Flatten</text>\n",
       "<polyline fill=\"none\" points=\"184.5,-249.5 184.5,-295.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"212.5\" y=\"-280.3\">input:</text>\n",
       "<polyline fill=\"none\" points=\"184.5,-272.5 240.5,-272.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"212.5\" y=\"-257.3\">output:</text>\n",
       "<polyline fill=\"none\" points=\"240.5,-249.5 240.5,-295.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"300\" y=\"-280.3\">(None, 15, 15, 32)</text>\n",
       "<polyline fill=\"none\" points=\"240.5,-272.5 359.5,-272.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"300\" y=\"-257.3\">(None, 7200)</text>\n",
       "</g>\n",
       "<!-- 1922477855352&#45;&gt;1922636398320 -->\n",
       "<g class=\"edge\" id=\"edge6\"><title>1922477855352-&gt;1922636398320</title>\n",
       "<path d=\"M217.5,-332.366C217.5,-324.152 217.5,-314.658 217.5,-305.725\" fill=\"none\" stroke=\"black\"/>\n",
       "<polygon fill=\"black\" points=\"221,-305.607 217.5,-295.607 214,-305.607 221,-305.607\" stroke=\"black\"/>\n",
       "</g>\n",
       "<!-- 1922636543144 -->\n",
       "<g class=\"node\" id=\"node8\"><title>1922636543144</title>\n",
       "<polygon fill=\"none\" points=\"92.5,-166.5 92.5,-212.5 342.5,-212.5 342.5,-166.5 92.5,-166.5\" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"144.5\" y=\"-185.8\">dense_1: Dense</text>\n",
       "<polyline fill=\"none\" points=\"196.5,-166.5 196.5,-212.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"224.5\" y=\"-197.3\">input:</text>\n",
       "<polyline fill=\"none\" points=\"196.5,-189.5 252.5,-189.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"224.5\" y=\"-174.3\">output:</text>\n",
       "<polyline fill=\"none\" points=\"252.5,-166.5 252.5,-212.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"297.5\" y=\"-197.3\">(None, 7200)</text>\n",
       "<polyline fill=\"none\" points=\"252.5,-189.5 342.5,-189.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"297.5\" y=\"-174.3\">(None, 128)</text>\n",
       "</g>\n",
       "<!-- 1922636398320&#45;&gt;1922636543144 -->\n",
       "<g class=\"edge\" id=\"edge7\"><title>1922636398320-&gt;1922636543144</title>\n",
       "<path d=\"M217.5,-249.366C217.5,-241.152 217.5,-231.658 217.5,-222.725\" fill=\"none\" stroke=\"black\"/>\n",
       "<polygon fill=\"black\" points=\"221,-222.607 217.5,-212.607 214,-222.607 221,-222.607\" stroke=\"black\"/>\n",
       "</g>\n",
       "<!-- 1922387377288 -->\n",
       "<g class=\"node\" id=\"node9\"><title>1922387377288</title>\n",
       "<polygon fill=\"none\" points=\"83,-83.5 83,-129.5 352,-129.5 352,-83.5 83,-83.5\" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"148\" y=\"-102.8\">dropout_2: Dropout</text>\n",
       "<polyline fill=\"none\" points=\"213,-83.5 213,-129.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"241\" y=\"-114.3\">input:</text>\n",
       "<polyline fill=\"none\" points=\"213,-106.5 269,-106.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"241\" y=\"-91.3\">output:</text>\n",
       "<polyline fill=\"none\" points=\"269,-83.5 269,-129.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"310.5\" y=\"-114.3\">(None, 128)</text>\n",
       "<polyline fill=\"none\" points=\"269,-106.5 352,-106.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"310.5\" y=\"-91.3\">(None, 128)</text>\n",
       "</g>\n",
       "<!-- 1922636543144&#45;&gt;1922387377288 -->\n",
       "<g class=\"edge\" id=\"edge8\"><title>1922636543144-&gt;1922387377288</title>\n",
       "<path d=\"M217.5,-166.366C217.5,-158.152 217.5,-148.658 217.5,-139.725\" fill=\"none\" stroke=\"black\"/>\n",
       "<polygon fill=\"black\" points=\"221,-139.607 217.5,-129.607 214,-139.607 221,-139.607\" stroke=\"black\"/>\n",
       "</g>\n",
       "<!-- 1922637069280 -->\n",
       "<g class=\"node\" id=\"node10\"><title>1922637069280</title>\n",
       "<polygon fill=\"none\" points=\"96,-0.5 96,-46.5 339,-46.5 339,-0.5 96,-0.5\" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"148\" y=\"-19.8\">dense_2: Dense</text>\n",
       "<polyline fill=\"none\" points=\"200,-0.5 200,-46.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"228\" y=\"-31.3\">input:</text>\n",
       "<polyline fill=\"none\" points=\"200,-23.5 256,-23.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"228\" y=\"-8.3\">output:</text>\n",
       "<polyline fill=\"none\" points=\"256,-0.5 256,-46.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"297.5\" y=\"-31.3\">(None, 128)</text>\n",
       "<polyline fill=\"none\" points=\"256,-23.5 339,-23.5 \" stroke=\"black\"/>\n",
       "<text font-family=\"Times New Roman,serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"297.5\" y=\"-8.3\">(None, 10)</text>\n",
       "</g>\n",
       "<!-- 1922387377288&#45;&gt;1922637069280 -->\n",
       "<g class=\"edge\" id=\"edge9\"><title>1922387377288-&gt;1922637069280</title>\n",
       "<path d=\"M217.5,-83.3664C217.5,-75.1516 217.5,-65.6579 217.5,-56.7252\" fill=\"none\" stroke=\"black\"/>\n",
       "<polygon fill=\"black\" points=\"221,-56.6068 217.5,-46.6068 214,-56.6069 221,-56.6068\" stroke=\"black\"/>\n",
       "</g>\n",
       "</g>\n",
       "</svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import SVG\n",
    "from keras.utils.vis_utils import model_to_dot\n",
    "\n",
    "SVG(model_to_dot(model, show_shapes=True, \n",
    "                 show_layer_names=True, rankdir='TB').create(prog='dot', format='svg'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_1 (Conv2D)            (None, 30, 30, 16)        448       \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 30, 30, 32)        4640      \n",
      "_________________________________________________________________\n",
      "batch_normalization_1 (Batch (None, 30, 30, 32)        128       \n",
      "_________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2 (None, 15, 15, 32)        0         \n",
      "_________________________________________________________________\n",
      "dropout_1 (Dropout)          (None, 15, 15, 32)        0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 7200)              0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 128)               921728    \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 10)                1290      \n",
      "=================================================================\n",
      "Total params: 928,234\n",
      "Trainable params: 928,170\n",
      "Non-trainable params: 64\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compile the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model.compile(loss=keras.losses.categorical_crossentropy,\n",
    "              optimizer=keras.optimizers.Adadelta(),\n",
    "              metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "early_stop_callback = [EarlyStopping(monitor='val_loss', \n",
    "                                     patience=3, verbose=0),\n",
    "                       ModelCheckpoint(KFOLD_WEIGHT_PATH, \n",
    "                                       monitor='val_loss', \n",
    "                                       save_best_only=True, \n",
    "                                       verbose=0),\n",
    "                      ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train the classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 45000 samples, validate on 5000 samples\n",
      "Epoch 1/25\n",
      "45000/45000 [==============================] - 293s - loss: 1.5285 - acc: 0.4553 - val_loss: 2.8227 - val_acc: 0.1058\n",
      "Epoch 2/25\n",
      "45000/45000 [==============================] - 256s - loss: 1.3115 - acc: 0.5370 - val_loss: 1.8764 - val_acc: 0.3810\n",
      "Epoch 3/25\n",
      "45000/45000 [==============================] - 375s - loss: 1.1782 - acc: 0.5836 - val_loss: 1.2101 - val_acc: 0.6220\n",
      "Epoch 4/25\n",
      "45000/45000 [==============================] - 248s - loss: 1.0834 - acc: 0.6194 - val_loss: 0.9893 - val_acc: 0.6560\n",
      "Epoch 5/25\n",
      "45000/45000 [==============================] - 206s - loss: 1.0069 - acc: 0.6427 - val_loss: 0.9871 - val_acc: 0.6506\n",
      "Epoch 6/25\n",
      "45000/45000 [==============================] - 205s - loss: 0.9369 - acc: 0.6703 - val_loss: 0.9481 - val_acc: 0.6718\n",
      "Epoch 7/25\n",
      "45000/45000 [==============================] - 207s - loss: 0.8840 - acc: 0.6876 - val_loss: 0.9160 - val_acc: 0.6900\n",
      "Epoch 8/25\n",
      "45000/45000 [==============================] - 208s - loss: 0.8364 - acc: 0.7070 - val_loss: 0.9228 - val_acc: 0.6852\n",
      "Epoch 9/25\n",
      "45000/45000 [==============================] - 206s - loss: 0.7971 - acc: 0.7224 - val_loss: 0.9683 - val_acc: 0.6754\n",
      "Epoch 10/25\n",
      "45000/45000 [==============================] - 212s - loss: 0.7611 - acc: 0.7331 - val_loss: 0.8720 - val_acc: 0.7032\n",
      "Epoch 11/25\n",
      "45000/45000 [==============================] - 209s - loss: 0.7222 - acc: 0.7455 - val_loss: 0.9085 - val_acc: 0.6882\n",
      "Epoch 12/25\n",
      "45000/45000 [==============================] - 209s - loss: 0.6920 - acc: 0.7556 - val_loss: 0.8952 - val_acc: 0.7046\n",
      "Epoch 13/25\n",
      "45000/45000 [==============================] - 209s - loss: 0.6642 - acc: 0.7656 - val_loss: 0.9498 - val_acc: 0.6914\n",
      "Epoch 14/25\n",
      "45000/45000 [==============================] - 209s - loss: 0.6321 - acc: 0.7786 - val_loss: 0.9746 - val_acc: 0.6878\n"
     ]
    }
   ],
   "source": [
    "history = model.fit(x_train, y_train,\n",
    "                    validation_split=0.1,\n",
    "                    batch_size=BATCH_SIZE,\n",
    "                    epochs=EPOCHS,\n",
    "                    verbose=1,\n",
    "                    callbacks=early_stop_callback,)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#model.save(filepath=r'../model/cnn_cifar10.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predict and test model performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 9984/10000 [============================>.] - ETA: 0s"
     ]
    }
   ],
   "source": [
    "score = model.evaluate(x_test, y_test, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test loss: 1.01026107655\n",
      "Test accuracy: 0.6758\n"
     ]
    }
   ],
   "source": [
    "print('Test loss:', score[0])\n",
    "print('Test accuracy:', score[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA4YAAAJmCAYAAAAAQJ47AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nFbj/AaDVuC/YwTAcAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1bfa6e94d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(1,figsize=(15,10))  \n",
    "\n",
    "# summarize history for accuracy  \n",
    "\n",
    "plt.subplot(121)  \n",
    "plt.plot(history.history['acc'])  \n",
    "plt.plot(history.history['val_acc'])  \n",
    "plt.title('model accuracy')  \n",
    "plt.ylabel('accuracy')  \n",
    "plt.xlabel('epoch')  \n",
    "plt.legend(['train', 'test'], loc='upper left')  \n",
    "\n",
    "# summarize history for loss  \n",
    "\n",
    "plt.subplot(122)  \n",
    "plt.plot(history.history['loss'])  \n",
    "plt.plot(history.history['val_loss'])  \n",
    "plt.title('model loss')  \n",
    "plt.ylabel('loss')  \n",
    "plt.xlabel('epoch')  \n",
    "plt.legend(['train', 'test'], loc='upper left')  \n",
    "plt.show()  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Though the model performance is commendable, there are signs of overfitting. \n",
    "The test loss starts increasing after a few epochs along with flattening of the test accuracy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How CNN Classifies an Image? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA48AAAOkCAYAAAAGAgH6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEEIIIYQQQohS/he7A8QAaU1uNAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1bfa0c03780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "utils.plot_predictions(model=model,dataset=x_test,\n",
    "                       dataset_labels=y_test,\n",
    "                       label_dict=label_dict,\n",
    "                       batch_size=25,\n",
    "                       grid_height=5,\n",
    "                       grid_width=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Utility Methods to understand CNN\n",
    "+ source: https://github.com/fchollet/keras/issues/431\n",
    "+ source: https://github.com/philipperemy/keras-visualize-activations/blob/master/read_activations.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test_image_idx = 1005"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----- activations -----\n",
      "(1, 30, 30, 16)\n",
      "(1, 30, 30, 32)\n",
      "(1, 30, 30, 32)\n",
      "(1, 15, 15, 32)\n",
      "(1, 15, 15, 32)\n",
      "(1, 7200)\n",
      "(1, 128)\n",
      "(1, 128)\n",
      "(1, 10)\n"
     ]
    }
   ],
   "source": [
    "activations = utils.get_activations(model, x_test[test_image_idx].reshape(1,32,32,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Displaying activation map 0\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABBcAAABmCAYAAACQjXlGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCIIgCIIgCDaF/x9qgUUMe9GOUQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1bf9cb4d9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Displaying activation map 1\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABBcAAABHCAYAAABcfa/VAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/wfIKyxSHEQioAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1bf9cbac6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Displaying activation map 2\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABBcAAABHCAYAAABcfa/VAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1bf9ec8da58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Displaying activation map 3\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABBcAAABHCAYAAABcfa/VAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1bfa0844940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Displaying activation map 4\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABBcAAABHCAYAAABcfa/VAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nMcYYMxJWLhhjjDHGGGOMMWYk/j/jzgQ5gEfuYQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1bfa086c748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Displaying activation map 5\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAArcAAAKzCAYAAAAEDCVhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nNNjcAgAAoDT+P/prQ5ctHrllAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1bfa088fd68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Displaying activation map 6\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABCgAAAAwCAYAAADToksZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCjMzMzMzMzNruv8DaVSG/hWmvZAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1bf9e93ad68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Displaying activation map 7\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABCgAAAAwCAYAAADToksZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1bfa0b89f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Displaying activation map 8\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABCgAAACNCAYAAAB19kuyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1bfa0be3e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "utils.display_activations(activations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1 [==============================] - 0s\n"
     ]
    }
   ],
   "source": [
    "pred_label = label_dict.get(model.predict_classes(x_test[test_image_idx].reshape(1,32,32,3)).argmax())\n",
    "actual_label = label_dict.get(y_test[test_image_idx].argmax())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label=automobile\n",
      "Predicted Label=airplane\n"
     ]
    }
   ],
   "source": [
    "print('Actual Label={}\\nPredicted Label={}'.format(actual_label,pred_label))"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
